208 postdoc-parallel-computing positions at University of Cambridge in United Kingdom
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-on role – you know how things work. Comfortable with basic paperwork to keep things organised. Good with computers (Word, Excel, Outlook) and willing to learn new things (like how our security alarms work
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one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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), to start a research career in an environment committed to training outstanding cancer research scientists of the future. The Institute's particular strengths are in genomics, computational biology and
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computational phenotyping methods. The post-holder will also be responsible for the organization of experiments assessing interactions with viral pathogens and beneficial microbes. We are seeking to appoint
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in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council...
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Impact Report Make a Donation © 2025 UN Environment Programme (UNEP). All rights reserved.
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assurance, employee assistance programme, free on-site parking, free use of gym and swimming pool, free lunch plus other benefits commensurate with working for a large Cambridge University College. How